Replicating Wave Accounting Data to Cloud Storage
Wave Accounting has long been a trusted platform for entrepreneurs, freelancers, and small businesses looking for an intuitive way to manage finances.
Its clean design and approachable tools make it an attractive choice.
But as with many business platforms, users often want more flexibility with their data: not just viewing it within Wave, but analyzing it elsewhere, combining it with other sources, or feeding it into dashboards. Traditionally, this has meant exporting CSVs or exploring Wave’s GraphQL API, which can require schema familiarity and manual effort.
Flatly’s new Wave Accounting integration removes that friction.
In under three minutes, you can connect your Wave account and begin syncing clean, usable data directly into the cloud storage and business intelligence apps you already rely on.
No need to parse GraphQL schemas, build custom scripts, or manage exports.
Flatly’s approach is point-and-go: simply choose the dataset—like Invoices, Customers, or Transactions—and Flatly handles the rest, delivering flat, structured data where you need it.
The integration supports eleven core datasets, from Accounts to Vendors, and allows filtering by date ranges when needed.
For a full list of data sets supported in the Wave integration see Data Sets
This gives businesses both breadth and precision: you can pull everything, or just what matters for a specific reporting cycle.
For destinations, Flatly supports a wide range of options, but four stand out as especially impactful for Wave users:
For a full list of destinations supported in the Wave integration see Destinations
By automating the flow of Wave data into these destinations, Flatly empowers businesses to focus on insights rather than integration.
The benefit is clear: your accounting data becomes instantly portable, analysis-ready, and aligned with the tools you already use.
Flatly’s Wave Accounting integration turns what was once a manual, technical task into a simple, reliable workflow—making it easier than ever to put your financial data to work.